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Off-line measuring sampling data identification parameters for digital twins mirroring load modellin...

Off-line measuring sampling data identification parameters for digital twins mirroring load modellin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_689cf287720a4aa5b08024a14a3667fe

Off-line measuring sampling data identification parameters for digital twins mirroring load modelling and stability analysis

About this item

Full title

Off-line measuring sampling data identification parameters for digital twins mirroring load modelling and stability analysis

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-03, Vol.13 (1), p.4653-4653, Article 4653

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Currently, the methods used to represent loads do not differ between the characteristics that compose them or the nature of these. Therefore, the purpose of this research is to develop digital twins mirroring load models that can be used for more precise studies on power-flows and stability within the National Transmission Grid (NTG). Off-line samp...

Alternative Titles

Full title

Off-line measuring sampling data identification parameters for digital twins mirroring load modelling and stability analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_689cf287720a4aa5b08024a14a3667fe

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_689cf287720a4aa5b08024a14a3667fe

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-31451-9

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